{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T01:20:20Z","timestamp":1760145620533,"version":"build-2065373602"},"reference-count":42,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2024,8,7]],"date-time":"2024-08-07T00:00:00Z","timestamp":1722988800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Symmetry"],"abstract":"<jats:p>Wireless Local-Area Networks (WLANs), as a popular internet access solution, are widely used in numerous places, including enterprises, campuses, and public venues. As the number of devices increases, large-scale deployments will cause the problem of dense wireless networks, including a lot of energy consumption. Thus, the optimization of energy-efficient wireless AP devices has become a focal point of attention. To reduce energy consumption, we have proposed the active access-point (AP) configuration algorithm for WLANs using APs with a dual interface. This uses the greedy algorithm combined with the local search optimization method to find the minimum number of activated APs while satisfying the minimum throughput constraint. However, the previous algorithm basically satisfies only the average throughput among the multiple hosts associated with one AP, wherein some hosts may not reach the required one. In this paper, to overcome this limitation, we propose an enhanced active AP configuration algorithm by incorporating the throughput request satisfaction method that controls the actual throughput at the target value (target throughput) for every host by applying traffic shaping. The target throughput is calculated from the single and concurrent communicating throughput of each host based on channel occupancy time. The minimum throughput constraint will be iteratively adjusted to obtain the required target throughput and achieve the fair throughput allocation. For evaluations, we conducted simulations using the WIMNET simulator and experiments using the testbed system with a Raspberry Pi 4B for APs in four topology cases with five APs and ten hosts. The results show that the proposed method always achieved the required minimum throughput in simulations as well as in experiments, while minimizing the number of active APs. Thus, the validity and effectiveness of our proposal were confirmed.<\/jats:p>","DOI":"10.3390\/sym16081005","type":"journal-article","created":{"date-parts":[[2024,8,8]],"date-time":"2024-08-08T07:01:25Z","timestamp":1723100485000},"page":"1005","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["An Enhanced Active Access-Point Configuration Algorithm Using the Throughput Request Satisfaction Method for an Energy-Efficient Wireless Local-Area Network"],"prefix":"10.3390","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-5024-0023","authenticated-orcid":false,"given":"Bin","family":"Wu","sequence":"first","affiliation":[{"name":"Graduate School of Environmental, Life, Natural Science and Technology, Okayama University, Okayama 700-8530, Japan"}]},{"given":"Nobuo","family":"Funabiki","sequence":"additional","affiliation":[{"name":"Graduate School of Environmental, Life, Natural Science and Technology, Okayama University, Okayama 700-8530, Japan"}]},{"given":"Dezheng","family":"Kong","sequence":"additional","affiliation":[{"name":"Graduate School of Environmental, Life, Natural Science and Technology, Okayama University, Okayama 700-8530, Japan"}]},{"given":"Xuan","family":"Wang","sequence":"additional","affiliation":[{"name":"Graduate School of Environmental, Life, Natural Science and Technology, Okayama University, Okayama 700-8530, Japan"}]},{"given":"Taishiro","family":"Seto","sequence":"additional","affiliation":[{"name":"Graduate School of Environmental, Life, Natural Science and Technology, Okayama University, Okayama 700-8530, Japan"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9599-6415","authenticated-orcid":false,"given":"Yu-Cheng","family":"Fan","sequence":"additional","affiliation":[{"name":"Department of Electronic Engineering, National Taipei University of Technology, Taipei 10608, Taiwan"}]}],"member":"1968","published-online":{"date-parts":[[2024,8,7]]},"reference":[{"key":"ref_1","first-page":"1231","article-title":"A decision support tool for indoor 801.11 ac wlan modeling using optimization techniques","volume":"7","author":"Ersoy","year":"2020","journal-title":"El-Cezeri J. 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